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TUSHAR [email protected]
https://techytushar.github.io +91 9044419522
tusharmit techytushar
Kanpur, India
Machine Learning Engineer
SkillsPROGRAMMINGLANGUAGESPythonJavaScriptC/C++Shell
SOFTWARE DEVELOPMENTSQLNoSQLNode.jsFlaskSeleniumGit
TOOLS & LIBRARIESTensorFlowApache SparkPandasOpenCVScikit LearnKerasNLTKNumpy
MLOPSAWSKubernetesDockerArgoMLFlow
AchievementsSelected to attend GSoCMentor Summit in Germany
Kaggle Discussion Expert
Runner Up at HCL AIHackathon
Runner-Up at Smart IndiaHackathon 2019Selected as Mentor at Hackin the North (IIIT Allahabad)and Hack on Hills (NITHamirpur)
Contributed to Open SourceProjects such as: Pandas,FOSSASIA, AboutCode,CloudCV
EmploymentPeakMachine Learning Engineer Oct. 2020 to Current
Developed fully managed services for Time-Series Forecasting and Product Recommendation on top of AWS.Created framework for building con�gurable Data Pipelines, which ran as scheduled jobs on Spark. This processed50GBs of data everyday and eased Data Scientist's work.Implemented Serverless MicroServices, used CloudFormation as an IaC tool along with other CI/CD best practices.Technologies used: AWS, Apache Spark, Node.js, PostgreSQL, K8s, Docker, Argo, MLFlow
Precily New DelhiData Science Intern (NLP) Jan. 2020 to Sept. 2020
Worked on various Semi-supervised and Unsupervised techniques for text classi�cation and similarity.Implemented new models by reading research papers and made modi�cations to already implemented SOTAmodels.Worked with domain experts to understand, clean and model the legal text data.Worked on testing of the models and deploying them to production.
SPDX RemoteGoogle Summer of Code Intern Apr. 2018 to Aug. 2018
Built an online XML editor which can be used to create and edit the SPDX Licenses.Included features such as making automatic pull request on GitHub, beautifying XML, generating di� andvalidating XML schema.Technologies Used: Django, SQL, JQuery, JavaScript, CSS, HTML (Link) (Commits)
ProjectsGames Anomaly Detection
Freelance project for a Gaming Startup to detect anomalies in scores of games played by users.Used extensive Data Analysis on Unlabelled Data and trained a Decision Tree model.Model achieved 99% Recall score after 2 weeks of being deployed.
Video Sentiment AnalysisTrained custom SSD Mobilenet Object Detection Model to detect cartoon faces in a video.Trained a CNN classi�er to predict the expression using the bounding box image.Technologies used: TensorFlow, OpenCV, Numpy, PIL (Link)
Data Extraction using OCRBuilt API to extract Dates and Amount from images of Bill Receipts.Various image processing techniques were used to improve accuracy.Technologies used: PIL, OpenCV, Tesseract, Numpy (Link)
EducationKanpur Institute Of Technology Aug. 2016 to July 2020 Bachelor of Technology (B.Tech) Computer Science and Engineering CGPA: 7.8/10.0
CourseraMachine Learning by Andrew Ng Deep Learning Specialization Introduction to MongoDB
ActivitiesIntel AI Student AmbassadorIntel AI Ambassador are student technology leaders, empowered to build machine learning and AI communities ontheir campus and share their deep knowledge with their fellow students. Organised workshops and seminars on AIrelated topics. (Link)
GitHub Campus ExpertGitHub Campus Experts is a community of students aimed at building technical community at their campus. Completedtraining modules provided by GitHub. Organized event, workshops and meetups at various colleges. (Link)
VolunteeringGoogle Code-In Mentor · CloudCV Oct. 2018 to Jan. 2020 Implementing new features, suggesting improvements and �xing bugs in the projects. Helping the school students to contribute to the project and reviewing their work. (Link)
Kanpur Python & PyData Meetup · Organizer June 2017 to CurrentGiving talks on topics related to Python, Data Science, Machine Learning and various frameworks in Python. Helpingpeople with their doubts and bugs, and building a community of people who love to code and are eager to learn. (Link)
